Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
accession: string
cik: string
company_name: string
date_filed: timestamp[s]
filename: string
final_char_count: int64
final_token_count: int64
form_type: string
language: string
language_confidence: double
language_source: string
numeric_cell_count_estimate: int64
parse_returncode: int64
parsed_md_bytes: int64
pdf_page_count: int64
pdf_token_count: int64
raw_bytes: int64
seconds: double
source_char_counts: struct<html: int64, other: int64, pdf: int64, sgml: int64, text: int64, xml: int64>
child 0, html: int64
child 1, other: int64
child 2, pdf: int64
child 3, sgml: int64
child 4, text: int64
child 5, xml: int64
source_token_counts: struct<html: int64, other: int64, pdf: int64, sgml: int64, text: int64, xml: int64>
child 0, html: int64
child 1, other: int64
child 2, pdf: int64
child 3, sgml: int64
child 4, text: int64
child 5, xml: int64
source_url: string
status: string
table_count: int64
table_token_count_estimate: int64
dataLimitations: list<item: string>
child 0, item: string
datePublished: timestamp[s]
name: string
dataUseCases: list<item: string>
child 0, item: string
recordSet: list<item: struct<@type: string, @id: string, name: string, description: string, field: list<item: s (... 104 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, field: list<item: struct<@type (... 92 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, descrip
...
PreprocessingProtocol: string
child 14, dataReleaseMaintenancePlan: string
child 15, dataUseCases: string
child 16, dataLimitations: string
child 17, dataBiases: string
child 18, personalSensitiveInformation: string
child 19, dataSocialImpact: string
child 20, dataAnnotationProtocol: string
child 21, dataAnnotationPlatform: string
child 22, dataAnnotationAnalysis: string
child 23, examples: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 24, extract: string
child 25, field: string
child 26, fileObject: string
child 27, fileProperty: string
child 28, fileSet: string
child 29, format: string
child 30, includes: string
child 31, jsonPath: string
child 32, path: string
child 33, recordSet: string
child 34, source: string
dataReleaseMaintenancePlan: string
dataCollection: string
creator: list<item: struct<@type: string, name: string>>
child 0, item: struct<@type: string, name: string>
child 0, @type: string
child 1, name: string
keywords: list<item: string>
child 0, item: string
personalSensitiveInformation: list<item: string>
child 0, item: string
dataPreprocessingProtocol: string
sameAs: string
dataCollectionType: list<item: string>
child 0, item: string
url: string
conformsTo: list<item: string>
child 0, item: string
dataCollectionTimeframe: string
description: string
dataBiases: list<item: string>
child 0, item: string
dataCollectionRawData: string
version: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'sc': Value('string'), 'cr': Value('string'), 'rai': Value('string'), 'dct': Value('string'), 'citeAs': Value('string'), 'conformsTo': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataCollection': Value('string'), 'dataCollectionRawData': Value('string'), 'dataCollectionTimeframe': Value('string'), 'dataCollectionType': Value('string'), 'dataPreprocessingProtocol': Value('string'), 'dataReleaseMaintenancePlan': Value('string'), 'dataUseCases': Value('string'), 'dataLimitations': Value('string'), 'dataBiases': Value('string'), 'personalSensitiveInformation': Value('string'), 'dataSocialImpact': Value('string'), 'dataAnnotationProtocol': Value('string'), 'dataAnnotationPlatform': Value('string'), 'dataAnnotationAnalysis': Value('string'), 'examples': {'@id': Value('string'), '@type': Value('string')}, 'extract': Value('string'), 'field': Value('string'), 'fileObject': Value('string'), 'fileProperty': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'jsonPath': Value('string'), 'path': Value('string'), 'recordSet': Value('string'), 'source': Value('string')}, '@type': Value('string'), 'name': Value('string'), 'alternateName': Value('string'), 'description': Value('string'), 'url': Value('string'), 'sameAs': Value('string'), 'conformsTo': List(Value('string')), 'license': Value('string'), 'creator': List({'@type': Value('string'), 'name': Value('string')}), 'publisher': {'@type': Value('string'), 'name': Value('string')}, 'datePublished': Value('timestamp[s]'), 'version': Value('string'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'contentSize': Value('int64')}), 'recordSet': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'field': List({'@type': Value('string'), 'name': Value('string'), 'dataType': Value('string'), 'source': {'fileObject': {'@id': Value('string')}}})}), 'dataCollectionRawData': Value('string'), 'dataUseCases': List(Value('string')), 'dataLimitations': List(Value('string')), 'dataBiases': List(Value('string')), 'personalSensitiveInformation': List(Value('string')), 'dataReleaseMaintenancePlan': Value('string'), 'dataSocialImpact': Value('string'), 'dataCollection': Value('string'), 'dataCollectionType': List(Value('string')), 'dataCollectionTimeframe': Value('string'), 'dataPreprocessingProtocol': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
accession: string
cik: string
company_name: string
date_filed: timestamp[s]
filename: string
final_char_count: int64
final_token_count: int64
form_type: string
language: string
language_confidence: double
language_source: string
numeric_cell_count_estimate: int64
parse_returncode: int64
parsed_md_bytes: int64
pdf_page_count: int64
pdf_token_count: int64
raw_bytes: int64
seconds: double
source_char_counts: struct<html: int64, other: int64, pdf: int64, sgml: int64, text: int64, xml: int64>
child 0, html: int64
child 1, other: int64
child 2, pdf: int64
child 3, sgml: int64
child 4, text: int64
child 5, xml: int64
source_token_counts: struct<html: int64, other: int64, pdf: int64, sgml: int64, text: int64, xml: int64>
child 0, html: int64
child 1, other: int64
child 2, pdf: int64
child 3, sgml: int64
child 4, text: int64
child 5, xml: int64
source_url: string
status: string
table_count: int64
table_token_count_estimate: int64
dataLimitations: list<item: string>
child 0, item: string
datePublished: timestamp[s]
name: string
dataUseCases: list<item: string>
child 0, item: string
recordSet: list<item: struct<@type: string, @id: string, name: string, description: string, field: list<item: s (... 104 chars omitted)
child 0, item: struct<@type: string, @id: string, name: string, description: string, field: list<item: struct<@type (... 92 chars omitted)
child 0, @type: string
child 1, @id: string
child 2, name: string
child 3, descrip
...
PreprocessingProtocol: string
child 14, dataReleaseMaintenancePlan: string
child 15, dataUseCases: string
child 16, dataLimitations: string
child 17, dataBiases: string
child 18, personalSensitiveInformation: string
child 19, dataSocialImpact: string
child 20, dataAnnotationProtocol: string
child 21, dataAnnotationPlatform: string
child 22, dataAnnotationAnalysis: string
child 23, examples: struct<@id: string, @type: string>
child 0, @id: string
child 1, @type: string
child 24, extract: string
child 25, field: string
child 26, fileObject: string
child 27, fileProperty: string
child 28, fileSet: string
child 29, format: string
child 30, includes: string
child 31, jsonPath: string
child 32, path: string
child 33, recordSet: string
child 34, source: string
dataReleaseMaintenancePlan: string
dataCollection: string
creator: list<item: struct<@type: string, name: string>>
child 0, item: struct<@type: string, name: string>
child 0, @type: string
child 1, name: string
keywords: list<item: string>
child 0, item: string
personalSensitiveInformation: list<item: string>
child 0, item: string
dataPreprocessingProtocol: string
sameAs: string
dataCollectionType: list<item: string>
child 0, item: string
url: string
conformsTo: list<item: string>
child 0, item: string
dataCollectionTimeframe: string
description: string
dataBiases: list<item: string>
child 0, item: string
dataCollectionRawData: string
version: string
to
{'@context': {'@language': Value('string'), '@vocab': Value('string'), 'sc': Value('string'), 'cr': Value('string'), 'rai': Value('string'), 'dct': Value('string'), 'citeAs': Value('string'), 'conformsTo': Value('string'), 'data': {'@id': Value('string'), '@type': Value('string')}, 'dataCollection': Value('string'), 'dataCollectionRawData': Value('string'), 'dataCollectionTimeframe': Value('string'), 'dataCollectionType': Value('string'), 'dataPreprocessingProtocol': Value('string'), 'dataReleaseMaintenancePlan': Value('string'), 'dataUseCases': Value('string'), 'dataLimitations': Value('string'), 'dataBiases': Value('string'), 'personalSensitiveInformation': Value('string'), 'dataSocialImpact': Value('string'), 'dataAnnotationProtocol': Value('string'), 'dataAnnotationPlatform': Value('string'), 'dataAnnotationAnalysis': Value('string'), 'examples': {'@id': Value('string'), '@type': Value('string')}, 'extract': Value('string'), 'field': Value('string'), 'fileObject': Value('string'), 'fileProperty': Value('string'), 'fileSet': Value('string'), 'format': Value('string'), 'includes': Value('string'), 'jsonPath': Value('string'), 'path': Value('string'), 'recordSet': Value('string'), 'source': Value('string')}, '@type': Value('string'), 'name': Value('string'), 'alternateName': Value('string'), 'description': Value('string'), 'url': Value('string'), 'sameAs': Value('string'), 'conformsTo': List(Value('string')), 'license': Value('string'), 'creator': List({'@type': Value('string'), 'name': Value('string')}), 'publisher': {'@type': Value('string'), 'name': Value('string')}, 'datePublished': Value('timestamp[s]'), 'version': Value('string'), 'keywords': List(Value('string')), 'distribution': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'contentUrl': Value('string'), 'encodingFormat': Value('string'), 'contentSize': Value('int64')}), 'recordSet': List({'@type': Value('string'), '@id': Value('string'), 'name': Value('string'), 'description': Value('string'), 'field': List({'@type': Value('string'), 'name': Value('string'), 'dataType': Value('string'), 'source': {'fileObject': {'@id': Value('string')}}})}), 'dataCollectionRawData': Value('string'), 'dataUseCases': List(Value('string')), 'dataLimitations': List(Value('string')), 'dataBiases': List(Value('string')), 'personalSensitiveInformation': List(Value('string')), 'dataReleaseMaintenancePlan': Value('string'), 'dataSocialImpact': Value('string'), 'dataCollection': Value('string'), 'dataCollectionType': List(Value('string')), 'dataCollectionTimeframe': Value('string'), 'dataPreprocessingProtocol': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SFD Archive 1B-Token Source-Format Sample
Cleaned artifacts for an archive-wide SFD source-format analysis sample. The sanitized filing_stats.jsonl.gz contains 37,534 parsed filing rows and 997,469,365 final SFD tokens. The sampled manifest contains 100,000 candidate rows. summary.json is recomputed from the uploaded filing stats; source_summary_checkpoint.json preserves the original run checkpoint summary. Parser stdout tails, local paths, temporary raw SEC downloads, and process logs are omitted.
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